SupportNova Uses Dual-Pipeline AI to Keep Humans in Control of Customer Support Decisions

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SupportNova is a customer support system built for consumer-electronics e-commerce platform Supportnova, combining generative AI with deterministic Python to handle customer complaints. The system uses a dual-pipeline architecture where a large language model interprets customer narratives, detects sentiment, and drafts responses, while a separate Python-based engine enforces business rules, policies, and eligibility decisions. This design addresses a core enterprise risk: unconstrained AI models can produce fluent but incorrect decisions, such as promising unauthorized refunds or missing mandatory safety escalations. The guiding principle of the architecture is that the AI can suggest actions, but Python-based deterministic logic holds final authority. The approach aims to make AI-driven customer support both capable and trustworthy in high-stakes operational environments.

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